Daniela Zantomio

401 citations
17 papers · 239 · h-index 7

Impact in

Papers in

Daniela Zantomio

15 papers receiving 236 citations

Peers

Daniela Zantomio
Comparison fields: 5 of 74
  • Hematology 66
  • Developmental Neuroscience 13
  • Cognitive Neuroscience 57
  • Neurology 24
  • Biological Psychiatry 6
Replace Hiroko Shigemi with:
Hiroko Shigemi Japan
Jason S. Gill United States
Abeer Shehab Egypt
Ting Luo China
Aude Charollais France
Joaquín A. Peña Venezuela
Sarah Morse United States
Srinivasan Muthuswamy India
Ziyi Peng China
E. Maida Austria
Daniela Zantomio relative to Hiroko Shigemi Japan Hiroko Shigemi's profile →
Citations per field
00.5×1.5×
Hiroko Shigemi · 1×
Citations per year

Countries citing papers authored by Daniela Zantomio

Since Specialization
Citations

This map shows the geographic impact of Daniela Zantomio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Zantomio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Zantomio more than expected).

Fields of papers citing papers by Daniela Zantomio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Zantomio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Zantomio. The network helps show where Daniela Zantomio may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Zantomio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Zantomio Line = papers co-authored together Daniela Zantomio links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200667
2 201543
3 201531
4 202030
5 201628
6 201813
7 201713
8 20155
9 20182
10 20152
11 20201
12 20181
13 20131
14 20211
15 20161
16 20250
17 20220

About Daniela Zantomio

Daniela Zantomio is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Cognitive Neuroscience and Neurology, having authored 17 papers that have together received 239 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Autism Spectrum Disorder Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Blood groups and transfusion (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (66 citations), Developmental Neuroscience (13 citations), Cognitive Neuroscience (57 citations), Neurology (24 citations) and Biological Psychiatry (6 citations). Daniela Zantomio has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Christos Pantelis, Gursharan Chana, Efstratios Skafidas, Ian Everall, Andrew Grigg, Lachlan MacGregor, Rosemary A. Ayton, Jeff Szer, Renée Testa and Liliana Laskaris. Their work appears in journals such as Leukemia Research, Clinical Infectious Diseases, Neuroscience & Biobehavioral Reviews, The Analyst and Molecular Autism.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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